{"url":"/dataset/fedtadbench","name":"FedTADBench","full_name":null,"description_markdown":"**FedTADBench** is a federated time series anomaly detection benchmark. It covers 5 time series anomaly detection algorithms, 4 federated learning frameworks, and 3 time series anomaly detection datasets.\r\n\r\nSource: [FedTADBench: Federated Time-Series Anomaly Detection Benchmark (https://arxiv.org/pdf/2212.09518v1.pdf)","description_withheld":null,"homepage":"https://github.com/fanxingliu2020/FedTADBench","introduced_date":"2022-12-19","introduced_date_note":null,"introduced_by":{"paper":"/paper/fedtadbench-federated-time-series-anomaly","title":"FedTADBench: Federated Time-Series Anomaly Detection Benchmark","first_author":"Fanxing Liu","url":null},"license":null,"modalities":[{"name":"Time series","url":"/datasets/modality/time-series"}],"tasks":[{"name":"Anomaly Detection","url":"/task/anomaly-detection","datasets_with_task":"/datasets/task/anomaly-detection"},{"name":"Time Series Analysis","url":"/task/time-series","datasets_with_task":"/datasets/task/time-series"},{"name":"Federated Learning","url":"/task/federated-learning","datasets_with_task":"/datasets/task/federated-learning"},{"name":"Time Series Anomaly Detection","url":"/task/time-series-anomaly-detection","datasets_with_task":"/datasets/task/time-series-anomaly-detection"}],"languages":[],"variants":["FedTADBench"],"data_loaders":[],"num_papers_in_archive":1,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[],"papers_with_a_benchmark_row":[],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":0,"samples_harvested":0,"samples_ran":0,"samples_unverified":0,"pointer_only_for_licence":0,"papers_with_no_sample_that_ran":0,"note":"the per-paper counts above, summed; not a rate"},"papers_note":"The archive never published its papers-using-dataset list; these are papers with a leaderboard row on this dataset's benchmarks."}